Search Results for author:
Found 6 papers, 2 papers with code
3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review
Nevertheless, working with this emerging type of data has been a challenging task for objects representation, scenes recognition, segmentation, and reconstruction.
Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
These networks are exploited for feature extraction or at the beginning of any DL model which is named backbones.
Panoptic Segmentation: A Review
Image segmentation for video analysis plays an essential role in different research fields such as smart city, healthcare, computer vision and geoscience, and remote sensing applications.
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.
Image inpainting: A review
Furthermore, collect a list of the available datasets and discuss these in our paper.
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks
For that, this paper proposes a new technic for multiple human action recognition and summarization for surveillance videos.
